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Record W2139873166 · doi:10.5539/jmsr.v1n3p50

Piezoresistivity and Mechanical Behavior of Metal-polymer Composites under Uniaxial Pressure

2012· article· en· W2139873166 on OpenAlex
Majid Kazemian Abyaneh, Satish Ekar, Sulabha K. Kulkarni

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Materials Science Research · 2012
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Energy Harvesting Materials
Canadian institutionsnot available
FundersIndian Space Research OrganisationDepartment of Science and Technology, Ministry of Science and Technology, India
KeywordsMaterials sciencePolydimethylsiloxaneComposite materialPiezoresistive effectComposite numberPolymerMetalElectrical resistivity and conductivityElectrical conductorMetallurgy

Abstract

fetched live from OpenAlex

The piezoresistive response of copper and nickel particles reinforced polydimethylsiloxane (PDMS) polymer, forming metal-polymer composites were investigated under uniaxial pressure. Electrical and mechanical properties of composite samples containing Cu and Ni conductive fillers at different loadings in polydimethylsiloxane (PDMS) polymer matrix have been presented here. Well-dispersed metal-polymer composites were fabricated by a wet mixing route. The resulting Cu-PDMS and Ni-PDMS composite samples show the resistivity changes by more than 2 and 10 orders of magnitude around 4MPa pressure, respectively. The mechanical tests have shown that these composite samples have high stress sensitivity which makes them good piezoresistive candidates for practical applications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.065
GPT teacher head0.348
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it